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An evolutionary approach to formation control with mobile robots

Holland, Jane
; 
Griffith, Josephine
; 
O'Riordan, Colm
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Identifiers
http://hdl.handle.net/10379/7389
https://doi.org/10.13025/18877
Repository DOI
10.5220/0006068602250230
Publication Date
2016
Keywords
Evolutionary Robotics, Swarm Robotics, Self-organisation, Collective Behaviours, Kilobots, SELF-ORGANIZATION, BEHAVIORS
Type
Conference Paper
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Citation
Holland J., Griffith J. and O'Riordan C. (2016). An Evolutionary Approach to Formation Control with Mobile Robots.In Proceedings of the 8th International Joint Conference on Computational Intelligence - Volume 1: ECTA, (IJCCI 2016), pages 225-230. DOI: 10.5220/0006068602250230
Abstract
The field of swarm robotics studies multi-robot systems, emphasising decentralised and self-organising behaviours that deal with limited individual abilities, local sensing and local communication. A robotic system needs to be flexible to environmental changes, robust to failure and scalable to large groups. These desired features can be achieved through collective behaviours such as aggregation, synchronisation, coordination and exploration. We aim to analyse these emerging behaviours by applying an evolutionary approach to a specific robotic system, called the Kilobot, in order to learn behaviours. If successful, not only would the cost and computation time for evolutionary computation in mobile robotics decrease, but the reality-gap could also narrow.
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SciTePress Digital Library
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Attribution-NonCommercial-NoDerivs 3.0 Ireland
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Computer Science (Conference Papers)